Performance analysis of deep learning algorithms for Intrusion Detection System(IDS) of IoT Security

Performance analysis of deep learning algorithms for Intrusion Detection System(IDS) of IoT Security

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Fiha, Yeamin Jahan, Farjana, Mithila, Bin Masum, Syed Rifat, Soron, Mehedi Bin Sarwar, Alif, Mia Fahim Hasan
مؤلفون آخرون: Hossain, Muhammad Iqbal
التنسيق: أطروحة
اللغة:en_US
منشور في: Brac University 2022
الموضوعات:
Deep learning
Intrusion Detection System
IoT
Security
RNN
GRU
LSTM
KDD-99
NSL-KDD
IDS
Vanilla LSTM
Bidirectional LSTM
Stacked LSTM
Machine learning.
Intrusion detection systems (Computer security)
Internet of things
الوصول للمادة أونلاين:http://hdl.handle.net/10361/17213

الانترنت

http://hdl.handle.net/10361/17213

مواد مشابهة